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Remote Mining Engineering Jobs in Boston, MA (NOW HIRING)

Danaher

Patent Agent

Marlborough, MA · On-site +1

$134K - $148K/yr

... and Engineers and working with the Intellectual Property (IP) Legal team to build and manage the ... The role is designated as fully remote ; however, there is a strong preference for the incumbent to ...

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All JobsMining Engineering JobsRemote Mining Engineering JobsRemote Mining Engineering Jobs in Boston, MA

Remote Mining Engineering information

See Boston, MA salary details

$35.9K

$96.9K

$154.3K

How much do remote mining engineering jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote mining engineering in Boston, MA is $96,889.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $118,400.00 per year, depending on experience, location, and employer.

What are typical day-to-day responsibilities for a Remote Mining Engineer?

As a Remote Mining Engineer, your daily responsibilities may include designing mine layouts, analyzing geological data, creating production plans, and monitoring mining operations via specialized software tools. You’ll frequently collaborate with on-site engineers, geologists, and project managers through virtual meetings and report on project progress or safety concerns. Documenting findings, optimizing processes for efficiency, and ensuring regulatory compliance are also integral parts of the role. While you’ll work remotely, effective communication and timely response to on-site teams are critical for success. This setup allows for flexibility while still having a significant impact on mining operations and project outcomes.

What are the key skills and qualifications needed to thrive in the Remote Mining Engineering position, and why are they important?

To thrive as a Remote Mining Engineer, you need a strong background in mining engineering or a related field, paired with solid analytical and problem-solving skills. Proficiency in mining software (such as Surpac, Vulcan, or AutoCAD), experience with remote sensing technologies, and relevant certifications like a Professional Engineer (PE) license are commonly required. Strong communication, self-motivation, and effective time-management skills are essential for collaborating with on-site teams while working remotely. These competencies ensure safe, efficient mine planning and operations, even when working from off-site locations.

What is a Remote Mining Engineering job?

A Remote Mining Engineering job involves overseeing mining operations, designing efficient extraction methods, and ensuring safety, all while working remotely. Engineers use advanced software, remote monitoring tools, and data analysis to optimize mining activities without being physically present at the site. This role requires strong technical knowledge, communication skills, and the ability to collaborate with on-site teams. It is common in companies that use automated or teleoperated mining equipment.

What are the most commonly searched types of Mining Engineering jobs in Boston, MA? The most popular types of Mining Engineering jobs in Boston, MA are:
What are popular job titles related to Remote Mining Engineering jobs in Boston, MA? For Remote Mining Engineering jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Mining Engineering jobs in Boston, MA look for? The top searched job categories for Remote Mining Engineering jobs in Boston, MA are:
Remote Mining Engineering jobs near you
Infographic showing various Remote Mining Engineering job openings in Boston, MA as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $96,889 per year, or $46.6 per hour.
Machine Learning Engineer, Data Mining

Machine Learning Engineer, Data Mining

Motional

Boston, MA • On-site, Remote

$124K - $149K/yr

Other

Posted 20 days ago

Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):

  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply